Yonder: Data denoising and reconstruction
Abstract
YONDER uses singular value decomposition to perform low-rank data denoising and reconstruction. It takes a tabular data matrix and an error matrix as input and returns a denoised version of the original dataset as output. The approach enables a more accurate data analysis in the presence of uncertainties. Consequently, this package can be used as a simple toolbox to perform astronomical data cleaning.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- August 2022
- Bibcode:
- 2022ascl.soft08025C
- Keywords:
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- Software